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Pine Property Services: property document set README

Document set README for Pine Property Services. 26 files, 1 of them intentionally invalid, with the reconciliation identities, the declared parameters and the measured size of each deliberate defect named in full.

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# Pine Property Services: commercial lease, rent roll, service-charge reconciliation and dilapidations documents

The paperwork of a multi-let commercial building: a lease with its rent and service charge clauses, the rent roll and unit areas the whole apportionment rests on, the quarterly demands and the one genuine arrear, the year end service charge reconciliation, and a costed dilapidations schedule tied back to the schedule of condition it is measured against.

All parties, amounts and identifiers are fictional. Fixed snapshot: 2026-09-08. Records are derived from the shared operating model `trades-property`, so identifiers join across this set, across the other commercial document sets, and across every fixture built on the same model.

## Reconciliation identities this set asserts

- The six unit areas sum to the 1200.00 sq m lettable area, which is the building area every rent roll row declares, and their shares sum to exactly 100.0000 percent.
- Annual rent is area times rate on every demise. Passing rent is 245,475.00 USD and estimated rental value 271,475.00, the difference being the vacant demise at 26,000.00.
- The service charge apportions 96,000.00 USD of budget and 102,476.00 of actual by area across all six demises, and the balancing charges sum to 6,476.00 USD.
- Each quarterly demand is rent plus service charge, and total less paid is outstanding on every row.
- The dilapidations claim of 31,089.47 USD compounds in a stated order: works, then preliminaries at 8 percent, then contract administration at 5 percent of the running total, then loss of rent.
- Every dilapidations item is reached by exactly one schedule of condition row, and the one element with no defect leads to no cost.

## Parameters this set introduces

These are properties of the document class, not of the operating model. They are declared once and every file in the set agrees with them.

- Floor areas: six demises totalling 1200.00 sq m plus 185.00 sq m of common parts. The trades-property model carries properties and work orders and no areas at all.
- Rents per square metre, the ten year lease term with its break and review dates, and the two quarters of rent held as a deposit.
- The 96,000.00 USD service charge budget, the six heads of charge and the 10 percent management fee.
- The dilapidations items, the 8 percent preliminaries, the 5 percent contract administration and the 8 week works programme.
- Which demise is vacant (U-06) and which tenant is in arrears (U-05 for 2026-Q3).

## Files

| File | Format | Validity | What it is |
| --- | --- | --- | --- |
| `unit-areas.csv` | csv | valid | Schedule of unit areas |
| `rent-roll.csv` | csv | valid | Rent roll |
| `rent-roll-area-mismatch.csv` | csv | invalid | Rent roll whose unit areas do not sum to the building area |
| `rent-roll.json` | json | valid | Rent roll JSON |
| `rent-roll.xlsx` | xlsx | valid | Rent roll workbook |
| `commercial-lease-LSE-2026-02.pdf` | pdf | valid | Commercial lease (PDF) |
| `commercial-lease-LSE-2026-02.docx` | docx | valid | Commercial lease (DOCX) |
| `lease-abstract.csv` | csv | valid | Lease abstract |
| `lease-abstract.json` | json | valid | Lease abstract JSON |
| `lease-register.csv` | csv | valid | Lease register |
| `service-charge-expenditure.csv` | csv | valid | Service charge expenditure against budget |
| `service-charge-budget.csv` | csv | valid | Service charge budget apportionment |
| `service-charge-reconciliation.csv` | csv | valid | Service charge year end reconciliation |
| `service-charge-reconciliation.xlsx` | xlsx | valid | Service charge reconciliation workbook |
| `service-charge-reconciliation.pdf` | pdf | valid | Service charge reconciliation statement |
| `rent-schedule.csv` | csv | valid | Quarterly rent and service charge demands |
| `arrears-report.csv` | csv | valid | Arrears report |
| `rent-demand-2026-Q4.pdf` | pdf | valid | Quarterly rent and service charge demand |
| `deposit-register.csv` | csv | valid | Deposit register |
| `dilapidations-schedule.pdf` | pdf | valid | Schedule of dilapidations |
| `dilapidations-schedule.csv` | csv | valid | Schedule of dilapidations lines |
… 70 lines total: download for the full file.

Specifications

Document Set
property
Industry
trades-property
Source Kit
trades-property
Entity
Pine Property Services
Synthetic
true
As Of
2026-09-08
Documented Files
26
Documented Defects
1

Testing contract

Reference control
Scenario
Read the README before using the set, then check that every filename it lists exists in the same directory and that the defect list matches the files marked invalid.
Expected result
The file table lists 26 entries including this README, and the deliberate-defect section names 1 file(s) with the measured size of each discrepancy.

What is a .md file?

Markdown (MD) is a lightweight plain-text markup language that uses simple punctuation conventions to denote headings, lists, links, emphasis, and code. It is designed to be readable as-is and to convert cleanly to HTML. It is widely used for documentation, READMEs, and content authoring.

How to use this file

Use an example Markdown file to test parsers and renderers, verify GitHub-Flavored Markdown extensions like tables and fenced code, and exercise HTML-conversion pipelines.

How to use this file for testing

“Pine Property Services: property document set README” is a deterministic Testaroo fixture for Data import. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.

Documented properties for this file: MD · 5,942 bytes. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.

Document fixtures list their internal structure (pages, fields, tracked changes, embedded objects) in the spec table. Test extractors, converters, and OCR against that known structure, and compare searchable↔scanned or format-twin companions when present.

Code examples

import markdown  # pip install markdown

html = markdown.markdown(open("README.md").read())
print(html[:200])

Generated by generation/industry_documents_two.py. Free for any use, no attribution required, license.